我尝试按照在Ubuntu（1）上安装Tensorflow的说明在Debian Buster上进行安装。说明说Virtualenv选项最简单，所以我选择了它。我没有使用GPU。我在引用的页面上执行了步骤1-4，但是步骤5（pip3 install --upgrade tensorflow）失败，并显示了几条消息，例如：
Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProtocolError('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))': /simple/tensorflow/
其次：
Could not find a version that satisfies the requirement tensorflow (from versions: )
No matching distribution found for tensorflow
说明说，如果失败，则应这样做：
pip3 install --upgrade https://storage.googleapis.com/tensorflow/linuxsorflow-1.8.0-cp36-cp36m-linux_x86_64.whl
这似乎找到了所需的一些东西，并生成了一些有关收集东西的消息，但最终它也失败了，并显示了类似的重试消息，其后是：
Could not find a version that satisfies the requirement werkzeug>=0.11.10 (from tensorboard<1.8.0->tensorflow==1.8.0) (from versions: )
No matching distribution found for werkzeug>=0.11.10 (from tensorboard<1.9.0,>=1.8.0->tensorflow
如果我只是重试，它通常会失败，并显示不同的消息，例如：
Could not find a version that satisfies the requirement html5lib==0.9999999 (from tensorboard<1.9.0,>=1.8.0->tensorflow) (from versions: )
No matching distribution found for html5lib==0.9999999 (from tensorboard<1.9.0,>=1.8.0->tensorflow)
或：
Could not find a version that satisfies the requirement markdown>=2.6.8 (from tensorboard<1.9.0,>=1.8.0->tensorflow) (from versions: )
No matching distribution found for markdown>=2.6.8 (from tensorboard<1.9.0,>=1.8.0->tensorflow)
一个明显的替代方法是按照here所述从源代码安装，但是在最后一步，即
sudo pip3 install /tmp/tensorflow_pkg/tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl
结果消息是
Processing /tmp/tensorflow_pkg/tensorflow-1.9.0rc0-cp36-cp36m-linux_x86_64.whl
Requirement already satisfied: six>=1.10.0 in /usr/lib/python3/dist-packages (from tensorflow==1.9.0rc0)
Collecting gast>=0.2.0 (from tensorflow==1.9.0rc0)
Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ProtocolError('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))': /simple/gast/
然后重试
Could not find a version that satisfies the requirement gast>=0.2.0 (from tensorflow==1.9.0rc0) (from versions: )
No matching distribution found for gast>=0.2.0 (from tensorflow==1.9.0rc0)